New: Data Engineers Opportunities in Singapore | AVP and VP | Multiple Headcounts

Are you a strong Data engineer looking to work on large-scale data platforms with genuine business impact?

I’m partnering with one of the world’s largest and most respected global investment organisations to hire multiple Data Engineers across AVP and VP levels in Singapore.

You’ll build modern data and analytics platforms used across portfolio management, trading, risk, and investment operations. These are hands-on roles combining complex data engineering, modern cloud technology, and direct exposure to business-critical decision-making.

Previous investment or financial-markets experience is not essential. The team is particularly interested in strong Databricks and Python engineers from leading technology companies, global banks, fintech firms, consultancies, or other data-intensive organisations.

If you have built complex platforms using Databricks, Python, and AWS, the team can help you develop the required investment-domain knowledge.

1. Five positions across AVP and VP levels.
2. Opportunities within Databricks platform transformation and enterprise data technology teams.
3. Individual-contributor and technical-leadership routes are available.
4. One VP position includes managing permanent engineers and external vendors.

1. Build enterprise data and analytics platforms used by investment professionals globally.
2. Develop scalable pipelines using Databricks, Python, PySpark, Spark SQL, SQL, and dbt.
3. Design modern lakehouse solutions covering data modelling, lineage, governance, and quality.
4. Build cloud-native data platforms on AWS.
5. Develop data products supporting investment, trading, analytics, and risk workflows.
6. Own delivery from system design and hands-on coding through deployment and production.
7. Work directly with product teams, architects, engineers, and senior business stakeholders.
8. Provide technical direction and mentorship at VP level.

1. Strong hands-on Databricks experience is essential.
2. Commercial AWS experience is mandatory; Azure-only experience cannot be considered.
3. Excellent coding skills in Python, PySpark, Spark SQL, and SQL.
4. Experience building large-scale data pipelines, lakehouse platforms, or analytics systems.
5. Strong knowledge of data architecture, modelling, governance, lineage, and data quality.
6. Exposure to dbt, Airflow, Pandas, Docker, Kubernetes, Terraform, or CI/CD.
7. Strong system-design, problem-solving, and communication skills.
8. A hands-on engineering mindset, including at senior levels.
9. Team-management experience for the relevant VP position.
10. Candidates should currently be based in Singapore.

1. Work with Databricks and AWS at genuine enterprise scale.
2. Build platforms that directly influence global investment decisions.
3. Join a major data and technology transformation with significant long-term investment.
4. Gain exposure across multiple asset classes and investment strategies.
5. Work alongside high-calibre engineers, architects, data specialists, and investment professionals.
6. Progress through either a senior individual-contributor or leadership career path.
7. Combine challenging technical work with long-term stability and flexible working.
8. Benefit from one work-from-home day per week.

If you’re ready to accelerate your career and build modern Databricks platforms with genuine global impact, please apply with your latest resume and get in touch for a confidential conversation.

BAH Partners specialises in placing world-class technology and quantitative talent across Asia-Pacific’s leading financial institutions and technology-driven organisations.